Martin Engilberge

22 papers A* 6A 2B 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Unified People Tracking with Graph Neural Networks.
CoRR
Martin Engilberge, Ivan Vrkic, Friedrich Wilke Grosche, Julien Pilet, Engin Türetken, Pascal Fua
2024 J jnl
Addressing the Elephant in the Room: Robust Animal Re-Identification with Unsupervised Part-Based Feature Alignment.
CoRR
Yingxue Yu, Vidit Vidit, Andrey Davydov, Martin Engilberge, Pascal Fua
2024 A* conf
CLOAF: CoLlisiOn-Aware Human Flow.
CVPR
Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua
2024 J jnl
CLOAF: CoLlisiOn-Aware Human Flow.
CoRR
Andrey Davydov, Martin Engilberge, Mathieu Salzmann, Pascal Fua
2024 J jnl
No Identity, no problem: Motion through detection for people tracking.
CoRR
Martin Engilberge, F. Wilke Grosche, Pascal Fua
2024 J jnl
No Identity, no problem: Motion through detection for people tracking.
Trans. Mach. Learn. Res.
Martin Engilberge, Friedrich Wilke Grosche, Pascal Fua
2023 A* conf
CLIP the Gap: A Single Domain Generalization Approach for Object Detection.
CVPR
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023 J jnl
CLIP the Gap: A Single Domain Generalization Approach for Object Detection.
CoRR
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023 J jnl
Learning Transformations To Reduce the Geometric Shift in Object Detection.
CoRR
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023 A* conf
Learning Transformations to Reduce the Geometric Shift in Object Detection.
CVPR
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
2023 A conf
Multi-view Tracking Using Weakly Supervised Human Motion Prediction.
WACV
Martin Engilberge, Weizhe Liu, Pascal Fua
2023 A conf
Two-level Data Augmentation for Calibrated Multi-view Detection.
WACV
Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua
2022 J jnl
Multi-view Tracking Using Weakly Supervised Human Motion Prediction.
CoRR
Martin Engilberge, Weizhe Liu, Pascal Fua
2022 J jnl
Two-level Data Augmentation for Calibrated Multi-view Detection.
CoRR
Martin Engilberge, Haixin Shi, Zhiye Wang, Pascal Fua
2020 — —
Deep Inside Visual-Semantic Embeddings. (Au cœur des espaces de représentation visuelle-sémantique).
Martin Engilberge
2019 A* conf
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates.
CVPR
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord
2019 J jnl
SoDeep: a Sorting Deep net to learn ranking loss surrogates.
CoRR
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord
2019 A* conf
VideoMem: Constructing, Analyzing, Predicting Short-Term and Long-Term Video Memorability.
ICCV
Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge
2018 A* conf
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization.
CVPR
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord
2018 J jnl
Finding beans in burgers: Deep semantic-visual embedding with localization.
CoRR
Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord
2018 J jnl
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability.
CoRR
Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong, Martin Engilberge
2017 B conf
Color representation in deep neural networks.
ICIP
Martin Engilberge, Edo Collins, Sabine Süsstrunk